Graph Based Power Flow Calculation for Energy Management System
This work addresses the need for faster power flow calculations in energy management systems for large and complex power grids, offering a promising approach for online computing.
The paper proposes a graph-based power flow calculation method for energy management systems that leverages graph database and graph computing to achieve faster-than-real-time computation. Case studies on practical large-scale systems demonstrate significant improvements in computation efficiency compared to traditional sequential programs.
Power flow calculation in EMS is required to accommodate a large and complex power system. To achieve a faster than real-time calculation, a graph based power flow calculation is proposed in this paper. Graph database and graph computing advantages in power system calculations are presented. A linear solver for power flow application is formulated and decomposed in nodal parallelism and hierarchical parallelism to fully utilize graph parallel computing capability. Comparison of the algorithm with traditional sequential programs shows significant benefits on computation efficiency. Case studies on practical large-scale systems provide supporting evidence that the new algorithm is promising for online computing for EMS.